scholarly journals Refined Bayesian Nash Equilibrium of Traveler Route Choice

2016 ◽  
Vol 05 (04) ◽  
pp. 639-645
Author(s):  
茹心 王
Keyword(s):  
Nash Equilibrium ◽  
Route Choice ◽  
Bayesian Nash Equilibrium

Bayesian Nash Equilibrium in Electricity Spot Markets: An Affine-Plane Approximation Approach

2021 ◽  
pp. 1-1
Author(s):  
Pranjal Pragya Verma ◽  
Mohammad Hesamzadeh ◽  
Ross Baldick ◽  
Darryl Biggar ◽  
K. Shanti Swarup ◽  
...  
Keyword(s):  
Nash Equilibrium ◽  
Affine Plane ◽  
Spot Markets ◽  
Approximation Approach ◽  
Bayesian Nash Equilibrium ◽  
Electricity Spot Markets

LEARNING IN BAYESIAN GAMES BY BOUNDED RATIONAL PLAYERS II: NONMYOPIA

1998 ◽  
Vol 2 (2) ◽  
pp. 141-155 ◽  
Author(s):  
Konstantinos Serfes ◽  
Nicholas C. Yannelis
Keyword(s):  
Nash Equilibrium ◽  
Arbitrary Number ◽  
Bayesian Learning ◽  
Full Information ◽  
Bayesian Games ◽  
Response Strategies ◽  
Bayesian Nash Equilibrium ◽  
Current Period ◽  
Best Response ◽  
Rational Players

We generalize results of earlier work on learning in Bayesian games by allowing players to make decisions in a nonmyopic fashion. In particular, we address the issue of nonmyopic Bayesian learning with an arbitrary number of bounded rational players, i.e., players who choose approximate best-response strategies for the entire horizon (rather than the current period). We show that, by repetition, nonmyopic bounded rational players can reach a limit full-information nonmyopic Bayesian Nash equilibrium (NBNE) strategy. The converse is also proved: Given a limit full-information NBNE strategy, one can find a sequence of nonmyopic bounded rational plays that converges to that strategy.

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